Strategic advice & alerts to leverage data analytics & new technologies
Leverage data and the technologies that generate it, from IoT to AI/machine learning, wearables, blockchain, and more, to improve decision-making, enrich collaboration and enable new services.
The OpenFog Reference Architecture for fog computing has emerged as a highly credible paradigm for architecting compute-intensive solutions for networks and applications that utilize IoT, 5G, and artificial intelligence. In this article, we’ll examine how fog architecture addresses cybersecurity for next-generation networks.
This article illustrates how fog computing can reduce waste, improve product quality and consistency, and create a digital twin of difficult-to-replicate processes through a hypothetical example of a craft brewery.
After a brief introduction describing cloud, fog, and edge computing, Cutter Senior Consultant Claude Baudoin provides an overview, along with his insights, of the panels and discussions at the recent Fog World Congress.
Almost 50% of survey respondents indicated that their organizations are interested in adopting NLP, making it third among all AI technologies organizations say they are most interested in adopting.
Cutter Consortium is conducting a series of surveys on how organizations are adopting, or planning to adopt, artificial intelligence (AI) technologies. We also seek to identify important issues and other considerations they are encountering or foresee encountering in their efforts. Here in Part IV, we look at survey findings concerning the various AI technologies organizations are interested in adopting.
Blockchain’s cryptographic capabilities, however, can be applied directly to the business process, via the distributed ledger and data flow, obviating the need for third parties and ensuring privacy and confidentiality. In this Advisor, we present an example of blockchain’s use in the financial industry.
The artificial intelligence (AI) technology organizations are most interested in adopting is predictive analytics, according to nearly 80% of the respondents in our ongoing survey examining the adoption and application of AI technology in the enterprise.
Given the risk/reward tradeoff inherent in disruptive technology adoption, this Executive Update aims to identify the motives, pressures, and efforts that influence continued adoption intention and usage of a disruptive technology after the initial adoption stage.